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Eric Liang
6724f57b03
* add carla example * add reward * set obs * Sun Dec 17 16:06:00 PST 2017 * add spec * fix measurement * add train script * resize to 80x80 * null * initial small training run * robustify env, clean up action space * clean up vars * switch to town2 which is faster * tunify train.py * add discrete mode * update * fix excessive brakinG * fix the weather * rename * redirect output and from future import * doc * update * fix rebase * allow dqn gpu growht * adjust dqn hyperparams * better ppo parameters
13 lines
579 B
Plaintext
13 lines
579 B
Plaintext
(Experimental) gym environment for https://github.com/carla-simulator/carla
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To run, first download and unpack the Carla release from this URL: https://github.com/carla-simulator/carla/releases/tag/0.7.0
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Then, you can try running env.py to drive the car. Run train_ppo.py or train_dqn.py to attempt training.
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$ pkill -9 Carla
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$ export PYTHONPATH=/home/ubuntu/CARLA_0.7.0/PythonClient:$PYTHONPATH
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$ export CARLA_SERVER=/home/ubuntu/CARLA_0.7.0/CarlaUE4.sh
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$ python env.py
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Note that the reward function is currently hard-coded to drive straight down the street.
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